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GCP Terraform MCP Server

@Kamalesh-Seervi

Repository

Basic information

Category

Cloud & Infrastructure

Last updated

License

MIT license

Transports

stdio

Author

Kamalesh-Seervi

About GCP Terraform MCP Server

No overview available yet

#gcp#terraform#mcp-server

GCP Terraform MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "gap-terraform-mcp-server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "fastmcp"
      ]
    }
  }
}

GCP Terraform MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is GCP Terraform MCP Server?

A Model Context Protocol (MCP) server that provides Terraform best practices, infrastructure as code patterns, and security compliance with Checkov for Google Cloud Platform (GCP). It is designed for developers and DevOps engineers building and managing GCP infrastructure with Terraform.

How to use GCP Terraform MCP Server?

Install the server using uv and add its configuration to your MCP client (e.g., VS Code, GitHub Copilot Chat). Then invoke any of the available tools—such as terraform_workflow_guide, terraform_init, or terraform_run_checkov—via the MCP interface.

Key features of GCP Terraform MCP Server

  • Terraform best practices for GCP
  • Security-first development workflow with validation checks
  • Checkov integration for security and compliance scanning
  • GCP provider documentation and resource search
  • GenAI module templates (Vertex AI, GKE, BigQuery)
  • Terraform Registry module analysis

Use cases of GCP Terraform MCP Server

  • Develop secure GCP infrastructure using Terraform best practices
  • Automate security scanning and remediation with Checkov
  • Generate GCP provider resource configuration snippets
  • Deploy AI/ML workloads using specialized GenAI modules
  • Analyze and reuse Terraform Registry modules in your projects

Frequently asked questions

1

What are the prerequisites to use GCP Terraform MCP Server?

You need `uv`, Python 3.10, the Terraform CLI, Checkov, and GCP authentication (gcloud CLI recommended).

2

How do I install GCP Terraform MCP Server?

Install `uv`, then run `uvx gcp-terraform-mcp-server@latest` or install the package with pip. You may also need to install FastMCP separately using `uv add fastmcp`.

3

How do I run the server?

Use the FastMCP CLI: `fastmcp run src/gcp_terraform_mcp_server/main.py:mcp` for stdio transport, or add `--transport sse --host 0.0.0.0 --port 8080` for SSE mode.

4

Can I integrate with GitHub Copilot?

Yes. Add the server configuration to your VS Code `settings.json` as shown in the README, then use the commands in the Copilot Chat panel.

5

What security considerations should I keep in mind?

Follow the structured development workflow, review all Checkov warnings manually, fix security issues when possible, document exceptions, and conduct your own independent assessment before applying changes to production.

Comments

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